Search Results - "Markkula, G."

Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road traffic by Markkula, G., Madigan, R., Nathanael, D., Portouli, E., Lee, Y. M., Dietrich, A., Billington, J., Schieben, A., Merat, N.

“…Rapid advances in technology for highly automated vehicles (HAVs) have raised concerns about coexistence of HAVs and human road users. Although there is a long…”
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Comparing and validating models of driver steering behaviour in collision avoidance and vehicle stabilisation by Markkula, G., Benderius, O., Wahde, M.

“…A number of driver models were fitted to a large data set of human truck driving, from a simulated near-crash, low-friction scenario, yielding two main…”
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An objective assessment of the utility of a driving simulator for low mu testing by Romano, R., Markkula, G., Boer, E., Jamson, H., Bean, A., Tomlinson, A., Horrobin, A., Sadraei, E.

“…•Developed a new objective method of assessing driving simulator fidelity.•Showed that the method is sensitive to different simulator configurations.•A large…”
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A farewell to brake reaction times? Kinematics-dependent brake response in naturalistic rear-end emergencies by Markkula, Gustav, Engström, Johan, Lodin, Johan, Bärgman, Jonas, Victor, Trent

“…[Display omitted] ⿢In naturalistic rear-end emergencies, driver braking is highly kinematics-dependent.⿢Most brake onsets occur within one second after certain…”
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Coming back into the loop: Drivers’ perceptual-motor performance in critical events after automated driving by Louw, Tyron, Markkula, Gustav, Boer, Erwin, Madigan, Ruth, Carsten, Oliver, Merat, Natasha

“…•During automated driving, the amount of visual information available to drivers was varied.•The less visual information the longer the take-over time, but…”
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Is improved lane keeping during cognitive load caused by increased physical arousal or gaze concentration toward the road center? by Li, Penghui, Markkula, Gustav, Li, Yibing, Merat, Natasha

“…•Improved lane-keeping during cognitive load (CL) was replicated in this study.•Novel analyses were performed to investigate the causal mechanisms.•During high…”
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Using perceptual cues for brake response to a lead vehicle: Comparing threshold and accumulator models of visual looming by Xue, Qingwan, Markkula, Gustav, Yan, Xuedong, Merat, Natasha

“…•Several effects of situation urgency on brake response time, previously observed separately, were replicated in one single simulator study.•Mechanistic models…”
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Models of Human Decision-Making as Tools for Estimating and Optimizing Impacts of Vehicle Automation by Markkula, Gustav, Romano, Richard, Madigan, Ruth, Fox, Charles W., Giles, Oscar T., Merat, Natasha

“…With the development of increasingly automated vehicles (AVs) comes the increasingly difficult challenge of comprehensively validating these for acceptable,…”
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Does cognitive distraction improve or degrade lane keeping performance? Analysis of time-to-line crossing safety margins by Li, Penghui, Merat, Natasha, Zheng, Zhixiao, Markkula, Gustav, Li, Yibing, Wang, Ying

“…•Drivers’ lane keeping performance was explored by a driving simulator study.•The effects of cognitive load (CL) on lateral safety margins was…”
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A Review of Near-Collision Driver Behavior Models by Markkula, Gustav, Benderius, Ola, Wolff, Krister, Wahde, Mattias

“…Objective: This article provides a review of recent models of driver behavior in on-road collision situations. Background: In efforts to improve traffic…”
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Steering or braking avoidance response in SHRP2 rear-end crashes and near-crashes: A decision tree approach by Sarkar, Abhijit, Hickman, Jeffrey S., McDonald, Anthony D., Huang, Wenyan, Vogelpohl, Tobias, Markkula, Gustav

“…•Develop drivers’ maneuver prediction algorithm using SHRP2 rear-end SCEs.•Introduced new reduction variables and methods that are pivotal in the prediction of…”
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Modelling visual-vestibular integration and behavioural adaptation in the driving simulator by Markkula, Gustav, Romano, Richard, Waldram, Rachel, Giles, Oscar, Mole, Callum, Wilkie, Richard

“…•We extended driver steering models to multisensory integration and behavioural adaptation.•Empirical findings from slalom tasks in simulators were explained…”
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Effects of experience and electronic stability control on low friction collision avoidance in a truck driving simulator by Markkula, Gustav, Benderius, Ola, Wolff, Krister, Wahde, Mattias

“…► Rear-end scenario with low road friction, studied in a truck driving simulator. ► Unexpected scenario: less experienced drivers reacted later, collided more…”
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Towards the Automotive HMI of the Future: Overview of the AIDE-Integrated Project Results by Amditis, A, Andreone, L, Pagle, K, Markkula, G, Deregibus, E, Rue, M R, Bellotti, F, Engelsberg, A, Brouwer, R, Peters, B, De Gloria, A

“…The Adaptive Integrated Driver-vehicle interfacE (AIDE) is an integrated project funded by the European Commission in the Sixth Framework Programme. The…”
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Driver behaviour in unexpected critical events and in repeated exposures – a comparison by Benderius, Ola, Markkula, Gustav, Wolff, Krister, Wahde, Mattias

“…Purpose This paper aims to determine how truck driver steering behaviour seen in repeated exposures to acritical event correlates to the behaviour resulting…”
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Driver Distraction Detection with a Camera Vision System by Kutila, M., Jokela, M., Markkula, G., Rue, M.R.

“…Driver assistance systems and electronics (e.g. navigators, cell phones, etc.) steal increasing amounts of driver attention. Therefore, the vehicle industry is…”
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Predicting pedestrian road-crossing assertiveness for autonomous vehicle control by Camara, F., Merat, N., Fox, C. W., Giles, O., Madigan, R., Rothmuller, M., Rasmussen, P. Holm, Vendelbo-Larsen, S. A., Markkula, G., Lee, Y. M., Garach, Laura

“…Autonomous vehicles (AVs) must interact with other road users including pedestrians. Unlike passive environments, pedestrians are active agents having their…”
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